ArticleScientific reports2021
A control framework to optimize public health policies in the course of the COVID-19 pandemic.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 18 citations in OpenAlex.
- Effectiveness of feedback control and the trade-off between death by COVID-19 and costs of countermeasures.Health care management science · 2023Article
- Updating Clinical Practices to Promote and Protect Human Milk and Breastfeeding in a COVID-19 Era.Frontiers in pediatrics · 2022Review
- Natural tannins as anti-SARS-CoV-2 compounds.International journal of biological sciences · 2022Review
- Comparing community mobility reduction between first and second COVID-19 waves.Transport policy · 2021Article
- A Sequential Quadratic Programming Approach for the Predictive Control of the COVID-19 Spread.IFAC-PapersOnLine · 2021Article
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Authors and funding
11 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The SARS-CoV-2 pandemic triggered substantial economic and social disruptions. Mitigation policies varied across countries based on resources, political conditions, and human behavior. In the absence of widespread vaccination able to induce herd immunity, strategies to coexist with the virus while minimizing risks of surges are paramount, which should work in parallel with reopening societies. To support these strategies, we present a predictive control system coupled with a nonlinear model able to optimize the level of policies to stop epidemic growth. We applied this system to study the unfolding of COVID-19 in Bahia, Brazil, also assessing the effects of varying population compliance. We show the importance of finely tuning the levels of enforced measures to achieve SARS-CoV-2 containment, with periodic interventions emerging as an optimal control strategy in the long-term.
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